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Prediction and Prevention of Addictions Through the Implementation of a Computational Social Simulator

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Innovation in Medicine and Healthcare 2017 (KES-InMed 2018 2017)

Part of the book series: Smart Innovation, Systems and Technologies ((SIST,volume 71))

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Abstract

The main objective of this work is to determine if a computer simulator can identify the interaction between risk factors and protective factors in relation to the emergence of substance use problems in a population of adolescents. This simulator will undoubtedly reduce time, while allowing statistics to be used to support public, private and social initiatives in order to make agile decisions in the area of ​​health; by means of an accumulated knowledge base that is based on the experience related to research and support to the community affected or at risk of falling into the consumption of addictive substances. The prediction and prevention of addictions in Baja California and the population of Mexico in which it is used will be strengthened by this tool. The regulatory framework that establishes the prevention of addictions allows different strategies to strengthen and contribute to the Mexican government’s work in the area of ​​public health and addictions.

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Author information

Authors and Affiliations

  1. Congreso del Estado de Baja California XXII Legislatura, Gobierno del estado de Baja California, Tijuana, BC, Mexico

    Miguel Antonio Osuna Millán

  2. Facultad de Contaduría y Administración, Universidad Autónoma de Baja California, UABC, Tijuana, BC, Mexico

    Nora Osuna Millán, Esperanza Manrique Rojas, Maricela Sevilla Caro, Margarita Ramírez Ramírez & Ricardo Rosales Cisneros

Authors
  1. Miguel Antonio Osuna Millán
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  2. Nora Osuna Millán
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  3. Esperanza Manrique Rojas
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  4. Maricela Sevilla Caro
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  5. Margarita Ramírez Ramírez
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  6. Ricardo Rosales Cisneros
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Corresponding author

Correspondence to Miguel Antonio Osuna Millán .

Editor information

Editors and Affiliations

  1. College of Information Science and Engineering, Ritsumeikan University, Kusatsu, Shiga, Japan

    Yen-Wei Chen

  2. Ritsumeikan University, Kusatsu, Shiga, Japan

    Satoshi Tanaka

  3. KES International, Bournemouth University, Poole, Dorset, United Kingdom

    Robert J. Howlett

  4. University of Canberra, Canberra, Aust Capital Terr, Australia

    Lakhmi C. Jain

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Osuna Millán, M.A., Osuna Millán, N., Manrique Rojas, E., Sevilla Caro, M., Ramírez Ramírez, M., Rosales Cisneros, R. (2018). Prediction and Prevention of Addictions Through the Implementation of a Computational Social Simulator. In: Chen, YW., Tanaka, S., Howlett, R., Jain, L. (eds) Innovation in Medicine and Healthcare 2017. KES-InMed 2018 2017. Smart Innovation, Systems and Technologies, vol 71. Springer, Cham. https://doi.org/10.1007/978-3-319-59397-5_4

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  • DOI: https://doi.org/10.1007/978-3-319-59397-5_4

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-59396-8

  • Online ISBN: 978-3-319-59397-5

  • eBook Packages: EngineeringEngineering (R0)

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